Triple
T24261205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mongie |
E604706
|
entity |
| Predicate | hasDragLifts |
P1984
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [La Mongie, hasDragLifts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDragLifts Context triple: [La Mongie, hasDragLifts, yes]
-
A.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
B.
hasLiftType
chosen
Indicates the specific type or category of lift associated with an entity.
-
C.
hasApproximateNumberOfLifts
Indicates that an entity is associated with an estimated or non-exact count of lifts.
-
D.
hasHighestLift
Indicates that the subject entity achieves the greatest lift value (e.g., improvement or elevation relative to a baseline) compared to all other relevant entities in the given context.
-
E.
hasLiftOrLaunchSystem
Indicates that an entity is equipped with, or associated with, a system used to lift, launch, or otherwise deploy another object or vehicle.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.